High-impedance fault detection in medium-voltage distribution network using computational intelligence-based classifiers

• Main Authors: Veerapandiyan, Veerasamy, Abdul Wahab, Noor Izzri, Ramachandran, Rajeswari, Mariammal, Thirumeni, Subramaniam, Chitra, Othman, Mohammad Lutfi, Hizam, Hashim
• Format: Article
• Language: English
• Published: Springer 2019
• Online Access: http://psasir.upm.edu.my/id/eprint/80066/1/High-impedance%20fault%20detection%20in%20medium-voltage%20distribution%20network%20using%20computational%20intelligence-based%20classifiers.pdf; http://psasir.upm.edu.my/id/eprint/80066/; https://link.springer.com/article/10.1007/s00521-019-04445-w

This paper presents the high-impedance fault (HIF) detection and identification in medium-voltage distribution network of 13.8 kV using discrete wavelet transform (DWT) and intelligence classifiers such as adaptive neuro-fuzzy inference system (ANFIS) and support vector machine (SVM). The three-phas...